Martin Steegmaier

4.4k citations
24 papers · 3.6k indexed · 2 hit papers · h-index 18

Martin Steegmaier

23 papers receiving 3.5k citations

Hit Papers

The Small-Molecule Inhibitor BI 2536 Reveals Novel Insigh...5632007202620132019200400600

Peers

Martin Steegmaier
Comparison fields: 5 of 103
  • Cell Biology 2.1k
  • Immunology and Allergy 455
  • Molecular Biology 2.4k
  • Physiology 152
  • Oncology 824
Replace Ritu Dhand with:
Ritu Dhand United Kingdom
A Tavitian France
Darren F. Seals United States
Rob A. van der Kammen Netherlands
Annette J. Self United Kingdom
Letizia Lanzetti Italy
Frédéric Bard Singapore
Michael D. Waterfield United Kingdom
Ian P. Whitehead United States
Marc G. Coppolino Canada
Martin Steegmaier relative to Ritu Dhand United Kingdom Ritu Dhand's profile →
Citations per field
00.5×3.1×
Ritu Dhand · 1×
Citations per year

Countries citing papers authored by Martin Steegmaier

Since Specialization
Citations

This map shows the geographic impact of Martin Steegmaier's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Martin Steegmaier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Steegmaier more than expected).

Fields of papers citing papers by Martin Steegmaier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin Steegmaier. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Martin Steegmaier. The network helps show where Martin Steegmaier may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Martin Steegmaier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Martin Steegmaier Line = papers co-authored together Martin Steegmaier links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202125
3 2009322
4 20085
5
BI 2536, a Potent and Selective Inhibitor of Polo-like Kinase 1, Inhibits Tumor Growth In Vivobreakdown →
2007691
6
The Small-Molecule Inhibitor BI 2536 Reveals Novel Insights into Mitotic Roles of Polo-like Kinase 1breakdown →
2007563
7 200613
8 20062
9 2006251
10 200065
11 200046
12 1999260
13 1999123
14 1998166
15 1998136
16 1997236
17 199795
18 199725
19 199763
20 1997103

About Martin Steegmaier

Martin Steegmaier is a scholar working on Immunology and Allergy, Cell Biology and Cancer Research, having authored 24 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cellular transport and secretion (8 papers), Microtubule and mitosis dynamics (6 papers), Cell Adhesion Molecules Research (6 papers), Lipid Membrane Structure and Behavior (5 papers), Protease and Inhibitor Mechanisms (5 papers), Cancer Treatment and Pharmacology (4 papers), Erythrocyte Function and Pathophysiology (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Cell Biology (2.1k citations), Immunology and Allergy (455 citations) and Molecular Biology (2.4k citations). Martin Steegmaier has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Richard H. Scheller, Matthias Hoffmann, Bin Yang, Wolfgang J. Rettig, Péter Lénárt, Mark Petronczki, Norbert Kraut, Matthias Grauert, Lino C. Gonzalez and Eric Borges. Their work appears in journals such as The Journal of Cell Biology, Journal of Biological Chemistry, Current Biology, Molecular Biology of the Cell and Journal of Clinical Oncology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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